Security Risk Analysis of Intelligent Vehicle Outdoor Remote Driving System Based on 5G Network

DOI

10.2991/978-94-6463-574-4_70How to use a DOI?

Keywords

5G network technology; intelligent vehicle outdoor remote driving system; security risk analysis

Abstract

With the promotion of 5G technology, the outdoor remote driving system of intelligent vehicle has been developed rapidly. However, this emerging field also brings many security risks and challenges. This study analyzes in detail the security risks of intelligent vehicle outdoor remote driving system based on 5G network in network communication, system control and data processing. It is found that although 5G technology provides higher data transmission rate, lower delay and larger connection capacity for intelligent transportation, it also makes the system more vulnerable to threats such as hacking, data leakage and illegal control. To this end, we put forward a series of security countermeasures and suggestions, including strengthening 5G network security protection, improving system control security and improving data security. In addition, we also discuss future research directions and challenges, such as how to effectively deal with DDoS attacks, end-to-end encryption technology and privacy protection strategies. In short, in order to ensure the safe and stable operation of the intelligent vehicle outdoor remote driving system, it is necessary to comprehensively use a variety of technologies and strategies to deal with various potential risks.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Chen Chen
AU  - Yan Xu
AU  - Zhaona Lu
AU  - Shaojie Pang
AU  - Yueyue Ma
PY  - 2024
DA  - 2024/11/21
TI  - Security Risk Analysis of Intelligent Vehicle Outdoor Remote Driving System Based on 5G Network
BT  - Proceedings of the 4th International Conference on Internet, Education and Information Technology (IEIT 2024)
PB  - Atlantis Press
SP  - 611
EP  - 621
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-574-4_70
DO  - 10.2991/978-94-6463-574-4_70
ID  - Chen2024
ER  -